Summary of 14_LightGBM_SelectedFeatures
LightGBM
- n_jobs: 6
- objective: multiclass
- num_leaves: 95
- learning_rate: 0.2
- feature_fraction: 0.5
- bagging_fraction: 1.0
- min_data_in_leaf: 10
- metric: custom
- custom_eval_metric_name: f1
- num_class: 6
- explain_level: 1
Validation
- validation_type: kfold
- k_folds: 5
- shuffle: True
- stratify: True
- random_seed: 42
Optimized metric
f1
Training time
39.5 seconds
Metric details
| 0 | 1 | 2 | 3 | 4 | 5 | accuracy | macro avg | weighted avg | logloss | |
|---|---|---|---|---|---|---|---|---|---|---|
| precision | 0.970963 | 0.968872 | 0.966904 | 0.990241 | 0.995068 | 0.998444 | 0.981485 | 0.981749 | 0.981568 | 0.0617018 |
| recall | 0.99147 | 0.956466 | 0.968878 | 0.99177 | 0.992892 | 0.980642 | 0.981485 | 0.980353 | 0.981485 | 0.0617018 |
| f1-score | 0.981109 | 0.962629 | 0.96789 | 0.991005 | 0.993979 | 0.989463 | 0.981485 | 0.981013 | 0.981485 | 0.0617018 |
| support | 2462 | 1562 | 1960 | 1944 | 1829 | 1963 | 0.981485 | 11720 | 11720 | 0.0617018 |
Confusion matrix
| Predicted as 0 | Predicted as 1 | Predicted as 2 | Predicted as 3 | Predicted as 4 | Predicted as 5 | |
|---|---|---|---|---|---|---|
| Labeled as 0 | 2441 | 8 | 1 | 11 | 0 | 1 |
| Labeled as 1 | 4 | 1494 | 61 | 0 | 3 | 0 |
| Labeled as 2 | 15 | 40 | 1899 | 2 | 2 | 2 |
| Labeled as 3 | 13 | 0 | 2 | 1928 | 1 | 0 |
| Labeled as 4 | 9 | 0 | 1 | 3 | 1816 | 0 |
| Labeled as 5 | 32 | 0 | 0 | 3 | 3 | 1925 |
Learning curves
Permutation-based Importance
Confusion Matrix
Normalized Confusion Matrix
ROC Curve
Precision Recall Curve
